Holography provides access to the optical phase. The emerging compressive phase
retrieval approach can achieve in-line holographic imaging beyond the information-theoretic …

Image stacks provide invaluable 3D information in various biological and pathological
imaging applications. Fourier ptychographic microscopy (FPM) enables reconstructing high …

The transport-of-intensity equation (TIE) enables quantitative phase imaging (QPI) under
partially coherent illumination by measuring the through-focus intensities combined with a …

Implicit neural representation (INR) characterizes the attributes of a signal as a function of
corresponding coordinates which emerges as a sharp weapon for solving inverse problems …

Generating 3D models lies at the core of computer graphics and has been the focus of
decades of research. With the emergence of advanced neural representations and …

Abstract Implicit Neural Representation (INR) which utilizes a neural network to map
coordinate inputs to corresponding attributes is causing a revolution in the field of signal …

Generating 3D models lies at the core of computer graphics and has been the focus of
decades of research. With the emergence of advanced neural representations and …

Deep learning has transformed computational imaging, but traditional pixel-based
representations limit their ability to capture continuous, multiscale details of objects. Here we …

Representing signals using coordinate networks dominates the area of inverse problems
recently and is widely applied in various scientific computing tasks. Still there exists an issue …

Holography is a powerful technique that records the amplitude and phase of an optical field
simultaneously, enabling a variety of applications such as label-free biomedical analysis …